Software

This code contains the data processing for research described in xxxx by Wood et al., 2024. U.S. Department of Transportation (USDOT) highway traffic data for each state and month is processed into a single CSV file containing the monthly total of vehicles passing each traffic station camera, the maximum hourly rate for each station and month, and the timestamp when the maximum occurred. A yearly

RUSH is a tool for rapid repeat high resolution coastal vegetation maps to improve forecasting of hurricane impacts and coastal resilience. Natural coastal vegetated ecosystems, including tidal marshes, vegetated dunes, and shrub- and forest-dominated wetlands, provide nature-based solutions to climate-related impacts of hurricanes. Extensive research has shown that vegetation cover in coastal s

Classifying UAS soil burn severity and scaling up to satellite with Python

The Pedestrian Evacuation Analyst is an ArcGIS Pro toolbox that estimates how long it would take for someone to travel on foot out of a hazardous area that was threatened by a sudden event such as a tsunami, flash flood, or volcanic lahar. It takes into account the elevation changes and the different types of landcover that a person would encounter along the way.

This software contains the data processing for nationwide landslide research described in Mirus et al. 2024, Parsimonious landslide-susceptibility modeling at continental scales: Application for the conterminous United States, Hawaii, Alaska, and Puerto Rico. To perform geospatial processing over the large geographic area, each 1/3 arc-second (10-meter) Digital Elevation Model (DEM) is processed i

Code for implementation of the Dynamic Surface Water Extent algorithm in Google Earth Engine. Multiple scripts allow the creation of single-scene or composited Dynamic Surface Water Extent (DSWE) images from Landsat and MODIS data. All code is written for use in the JavaScript API.

A continually increasing number of high-quality digital strong-motion records from stations of the National Strong Motion Project (NSMP) of the U.S. Geological Survey (USGS), as well as data from regional seismic networks within the U.S., called for automated processing of strong-motion records with human review limited to selected significant or flagged records. This PRISM (Processing and Review